Kevin you again have no idea what you are saying. If you did you'd go out and find an article to support the efficacy of homeopathy. You didn't. You failed miserably.

For example if homeopathy showed that it had a success rate as high as this experiment, then that would be evidence in support of homeopathy. But, homeopathy never does this well. The science makes it very clear that this works and homeopathy does not.

... But he pointed out that the research does not mean it is possible to literally know what a person is remembering. "The computer algorithm doesn't really 'read' memories - it merely distinguishes one from another."

2: It's a guess:

Watch the CBS video of an earlier test of the method, the computer provides choices and says "I think the answer is ..." It's guessing correctly, but it's still a guess.

You need to stop being amazingly and stupendously ignorant. I believe everyone can learn. You can do it.

1. I never claimed it read minds. It's a transducer mapping brain signals to an output.2. It's a guess? Really? Well, what algorithmic paradigm is it using? You say it's a guess because you argue from ignorance. Sorry you're such a self assured failure.

Last edited by Nostradamus on 14 Mar 2010, 12:11, edited 1 time in total.

So Kevin why don't you go back to the homeopathy thread and tell us all about the studies you claim support homeopathy. You failed miserably before. Why don't you show us all how intelligent you are by posting the studies. You can't even find one study that works as well as this computer program. You couldn't find one study, not even 1 measly study, that performs as well as this program.

In recent years, multivariate pattern analyses have been performed on functional magnetic resonance imaging (fMRI) data, permitting prediction of mental states from local patterns of blood oxygen-level-dependent (BOLD) signal across voxels [1, 2,1, 2]. We previously demonstrated that it is possible to predict the position of individuals in a virtual-reality environment from the pattern of activity across voxels in the hippocampus [3]. Although this shows that spatial memories can be decoded, substantially more challenging, and arguably only possible to investigate in humans [4], is whether it is feasible to predict which complex everyday experience, or episodic memory, a person is recalling. Here we document for the first time that traces of individual rich episodic memories are detectable and distinguishable solely from the pattern of fMRI BOLD signals across voxels in the human hippocampus. In so doing, we uncovered a possible functional topography in the hippocampus, with preferential episodic processing by some hippocampal regions over others. Moreover, our results imply that the neuronal traces of episodic memories are stable (and thus predictable) even over many re-activations. Finally, our data provide further evidence for functional differentiation within the medial temporal lobe, in that we show the hippocampus contains significantly more episodic information than adjacent structures.